Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks. - Arthur da Cunha 001; Emanuele Natale; Laurent Viennot (ICLR, 2022)

On the Multidimensional Random Subset Sum Problem. - Luca Becchetti; Arthur Carvalho Walraven da Cunha; Andrea Clementi; Francesco D'Amore 001; Hicham Lesfari; Emanuele Natale; Luca Trevisan 001 (CoRR, 2022)

Revisiting the Random Subset Sum Problem. - Arthur Carvalho Walraven da Cunha; Francesco D'Amore 001; Frédéric Giroire; Hicham Lesfari; Emanuele Natale; Laurent Viennot (ESA, 2023)

Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets. - Arthur da Cunha 001; Francesco D'Amore 001; Emanuele Natale (NeurIPS, 2023)

Neural Network Information Leakage Through Hidden Learning. - Arthur Carvalho Walraven da Cunha; Emanuele Natale; Laurent Viennot (OLA, 2023)

Pruning random structures. (Élagage des structures aléatoires). - Arthur Carvalho Walraven da Cunha (2023)

Optimal Parallelization of Boosting. - Arthur da Cunha 001; Mikael Møller Høgsgaard; Kasper Green Larsen (NeurIPS, 2024)

Boosting, Voting Classifiers and Randomized Sample Compression Schemes. - Arthur da Cunha 001; Kasper Green Larsen; Martin Ritzert (ALT, 2025)

Revisiting Agnostic Boosting. - Arthur da Cunha 001; Mikael Møller Høgsgaard; Andrea Paudice; Yuxin Sun (CoRR, 2025)